SilTest Semiconductor, Europe's leading semiconductor product development and test services, today announced a strategic partnership with yieldWerx, a global provider of advanced semiconductor yield management software. The collaboration combines SilTest's deep engineering expertise with yieldWerx's robust data analytics capabilities to provide semiconductor companies in Europe with enhanced yield optimization and productivity solutions.
Through this partnership, SilTest and yieldWerx will provide European semiconductor manufacturers and fabless semiconductor companies with a comprehensive, data-driven yield management solution that streamlines the testing process, improves quality, and reduces costs. This collaboration results in an end-to-end approach to yield analysis that addresses key industry needs, from production data insights to efficient troubleshooting of complex yield issues.
Key highlights of the partnership include:
Integrated yield optimization solutions: Customers will benefit from the seamless integration of SilTest's engineering services with yieldWerx's advanced software to facilitate efficient data analysis and actionable insights.
Cost and time benefits: The integrated solution enables faster throughput, a more streamlined testing process, and a significant reduction in overall production costs.
Local Support & Expertise: With SilTest's presence in Europe, customers will be able to receive tailored local support and solutions to meet the specific needs of the European semiconductor market.
Sameer Saran, Managing Director of SilTest, said: "Our partnership with yieldWerx enables us to provide our customers with a comprehensive yield optimization solution that helps them gain deeper insights and accelerate screening efficiency. This partnership also demonstrates our commitment to supporting the European semiconductor industry with state-of-the-art tools and expertise.”
Aftkhar Aslam, CEO of yieldWerx, added: "Combining our software capabilities with SilTest's engineering services creates a strong synergy that addresses a critical need in the market. We look forward to helping European semiconductor companies achieve their higher yield and efficiency goals through this collaboration."
Picture: SilTest and yieldWerx announce strategic partnership to optimize semiconductor production (Picture: PR Newswire)
Semiconductor yield optimization is a comprehensive process that involves multiple aspects and approaches. For example:
Process optimization
Design optimization: Advanced design software and algorithms are used to optimize circuit layout and wiring to improve the performance and stability of the chip.
The low-power design and modular design improve process efficiency.
Material Growth and Deposition Optimization: Study and optimize the growth and deposition conditions of materials, control the quality and thickness of materials, and improve the stability and consistency of products.
Fine control: Introduce more accurate manufacturing process control systems, such as automation equipment and real-time monitoring technology, to carry out fine control and adjustment of the manufacturing process, reduce human error, and improve production efficiency.
Process Optimization:
Improve productivity by analyzing and optimizing existing processes to reduce unnecessary steps and links.
Rational planning of parallel and serial processing steps to improve equipment utilization and productivity.
Technological innovation and application
Data analysis and mining: Use big data analysis and mining technology to conduct in-depth analysis and optimization of operating parameters to discover potential improvement areas and improvement directions.
Artificial Intelligence and Machine Learning: Leverage artificial intelligence and machine learning technologies for chip inspection, predictive analysis, and decision support to improve product yield and quality assurance processes.
Internet of Things (IoT) sensors: Use IoT sensors in tools and production lines to identify the root cause of chip or equipment failures, optimize supply chains, reduce costs, and shorten production time.
Semiconductor yield optimization is a complex process that involves many aspects. By combining these technologies and methods, it is possible to significantly improve the yield and quality of semiconductor products to meet the needs and challenges of the market.
